Table 1.
Studies reporting on associations between SES and structural brain development.
Study | Participants | SES measures | Areas of the brain | Morphometry analysis | Main findings | |
---|---|---|---|---|---|---|
Children | Eckert et al., 2001 | 10–12 years old | Participation in a federally subsidized school lunch program. | Whole-brain and ROIsa in planum temporale and central sulcus | MRI: cerebral volume (PV-wave and manual tracing); surface areas of ROIs (manual tracing) | Children who participated and children who did not participate in a federally subsidized school lunch program showed similar correlations between planum temporale asymmetry and phonological skill, although phonological skill was lower in the lower-SES group. |
M = 11.4 years | Low-income families had annual incomes less than $14,597 | |||||
N = 39 | ||||||
Hanson et al., 2013 | 0–5 years old | Family income | Whole-brain and ROIs in frontal, parietal, temporal, and occipital lobes | MRI: cerebral volume; gray and white matter volumes in ROIs (Expectation–Maximization algorithm) | Children from lower income families had lower total gray matter volumes, and frontal and parietal volumes. No differences were found for total cerebral volume or parietal and temporal lobes. Children from lower income families showed reduced total gray matter trajectory. | |
M = 13.5 months (first scan) | Mode = $50k to $75k | |||||
Range = $0 to > $100k | ||||||
N = 77 | SES categories | |||||
Low-SES (= or < 200% of FPL), Moderate-SES (between 200 and 400% of FPL), High-SES (greater than 400% of FPL) | ||||||
Jednoróg et al., 2012 | 8–10 years old | Hollingshead 2-factor index | Whole-brain and ROIs in hippocampi, middle temporal gyri, left fusiform, right and inferior occipito-temporal gyri. Overall white matter microstructure | MRI: VBMb—total brain volume and gray matter volumes in ROIs (SPM8); SBMc—intracranial volume, hemispheric thickness, total surface area, and gray matter surface area, thickness, and volumes in ROIs (FreeSurfer) DTId: Fractional anisotropy (BrainVISA and FSL) | Hollingshead Index positively correlated with gray matter volumes in hippocampi, parahippocampal, gyri, middle temporal gyri, insula, left fusiform gyrus, right inferior occipito-temporal region, and left superior/middle frontal gyrus. Hollingshead values not significantly correlated with white matter microstructure. | |
M = 9.6 years | (maternal education and maternal occupation) | |||||
N = 23 | ||||||
Mean = 44, SD = 28 | ||||||
Range = 84–11 | ||||||
(Low- to high-SES families) | ||||||
Luby et al., 2013 | 6–12 years old | Family Income-to-Needs (ITN)e | Whole-brain and ROIs in hippocampus and amygdala | MRI: cerebral volume; gray and white matter volumes in ROIs (FreeSurfer) | Family ITN positively correlated with total white and gray matter volumes as well as hippocampal and amygdala volumes. Effects of poverty on hippocampal volume were mediated by caregiving and stressful life events, but not parental education. | |
M = 9.8 years | Mean = 2.14, SD = 1.27 | |||||
N = 145 | Range = 0–4.74 | |||||
Parental education | ||||||
Mode = Some college (38%) | ||||||
Range = Less than HS to graduate degree | ||||||
Raizada et al., 2008 | 5-year-olds | Hollingshead 4-factor index | Left inferior frontal gyrus | MRI: gray and white matter volume in ROI (SPM5) | Hollingshead Index was marginally positively correlated with both gray and white matter volumes in the left inferior frontal gyrus. | |
M = 5.3 years | (Marital status, employment, educational attainment, and occupational prestige) | |||||
N = 14 | ||||||
Range = 31.5–66 | ||||||
(Middle- to high-SES families) | ||||||
Children and Adolescents | Hanson et al., 2011 | 4–18 years old | Family income | Whole-brain and ROIs in hippocampi and amygdalae | MRI: VBM- total brain volume and gray matter volumes in ROIs (DARTEL and SPM8) | Family income was positively correlated with hippocampal volume. No association between income and amygdala volumes. Positive correlation between paternal ED, but not maternal ED, and total and right hippocampal volumes. No relationship between income and cerebral volume. |
M = 11.2 years | Range = Less than $5k—more than $100k | |||||
N = 317 | ||||||
Mode = $75k–$100k (28%) | ||||||
Parental education | ||||||
Range = Less than HS to graduate degree | ||||||
Mode = College (27%) | ||||||
Lange et al., 2010 | 4–18 years old | Family income | Whole-brain and ROIs in intracranial cavity, cerebellum, brainstem, thalamus, caudate nucleus, putamen, globus pallidus, and frontal, temporal, parietal, and occipital lobes | MRI: total brain volume (sum of gray and white matter volumes in ROIs plus cerebrospinal fluid); gray and white matter volumes in ROIs (automated tissue segmentation algorithm) | Parental education levels were not correlated with brain volumes. Both family income and parental education were related to full scale IQ. Positive correlation between full scale IQ and cerebral volume. Total or regional brain volumes do not mediate association between parental education and IQ in children. | |
M = 10.9 years | Mean = 73, 047, SD = 1816 | |||||
N = 285 | Less than $50K (27%), $50k–$100k (50%), greater than $100k (23%) | |||||
Parental education | ||||||
Range = HS to graduate degree | ||||||
Mean = 73, 047, SD = 1816 | ||||||
Modes = College (31%) and Graduate School (31%) | ||||||
Brain Development Cooperative Group, 2012 | 4–18 years old | Family income | Whole-brain and ROIs in intracranial cavity, cerebellum, brainstem, thalamus, caudate nucleus, putamen, globus pallidus, and frontal, temporal, parietal, and occipital lobes | MRI: total brain volume (sum of gray and white matter volumes in ROIs plus cerebrospinal fluid); gray and white matter volumes in ROIs (“mni_autoreg” software package and automatic nonlinear image matching and anatomical labeling) | Family income and parental education levels were not associated with any regional brain volume. | |
M = 10.9 years | Mean = 72, 458, SD = 31,695 | |||||
N = 325 | Parental education | |||||
Modes = College (31%) and graduate school (31%) | ||||||
Range = HS to graduate degree | ||||||
Lawson et al., 2013 | 4–18 years old | Family income | Frontal gyri (superior, middle and inferior), anterior cingulate gyri, and orbitofrontal gyri | MRI: cortical thickness (ANTS and DiReCT) | Parental education, but not family income, predicted increased cortical thickness in the left superior frontal gyrus and right anterior cingulate gyrus. No parental education by age interactions. | |
M = 11.5 years | Mode = $75k–$100k (27%) | |||||
N = 283 | Range = Less than $5k–$150k | |||||
Parental education | ||||||
Mean = 7.53, SD = 2.31 | ||||||
Range = 2–12 | ||||||
Noble et al., 2012a | 5–17 years old | Income-to-Needs (ITN) | Left temporal gyrus (superior, middle, and inferior), left fusiform gyrus, hippocampi, amygdalae, and anterior cingulate cortex | MRI: gray and white matter volumes in ROIs (FreeSurfer) | Parental education was negatively correlated with amygdala volume. No correlation between ITN and amygdala volume. ITN was positively correlated with hippocampal volume, but no correlation between parental education and hippocampal volume. Education by age interaction observed in left superior temporal gyrus and left inferior frontal gyrus. | |
M = 11.4 years | Mean = 3.3, SD = 1.9 | |||||
N = 60 | Range = 0.23–6.7 | |||||
Parental education | ||||||
Mean = 15.1, SD = 2.7 | ||||||
Range = 8–21 years | ||||||
Adults | Butterworth et al., 2012 | 44–48 years old | Experience of financial hardship over past year | Amygdala and hippocampus | MRI: gray and white matter volumes in ROIs (FreeSurfer) | Experience of current financial hardship was correlated with smaller hippocampus and amygdala. Childhood poverty was not associated with either brain structure. |
M = 46.7 years | ||||||
N = 403 | 4 dichotomous variables: pawned or sold something, went without meals, unable to heat home, or asked for help from welfare/community organizations | |||||
Childhood poverty (y/n) | ||||||
Cavanagh et al., 2013 | 36–65 years old | Early life SES (ESES) | Cerebellum | MRI: cerebellar gray matter volume (FreeSurfer) | Both early life and current SES predicted cerebellar gray matter volume. Current SES explained significant additional variance to early life SES, but not vice-versa. Lower SES was associated with smaller cerebellar gray matter volumes. | |
M = 50.94 years | (Number of siblings, people per room, paternal social class, parental housing tenure, and use of a car by family) | |||||
N = 42 | ||||||
Current SES (CSES) | ||||||
(Current income, current social class, current housing tenure) | ||||||
Chiang et al., 2011 | 18–29 years old | Adult occupation (Australian socioeconomic index: SEI) | Overall white matter microstructure | DTI: fractional anisotropy (FSL) | No main effect of SEI on white matter microstructure, but interaction between SEI and genetic components that affect white matter integrity. Higher SEI participants had higher heritability in the thalamus, left middle temporal gyrus, and callosal splenium. Lower SEI participants had higher heritability in the anterior corona radiate. | |
M = 23.7 years | ||||||
N = 499 | Median = 67.5 | |||||
25th Percentile = 39.7 | ||||||
75th Percentile = 83.8 | ||||||
Gianaros et al., 2007 | 31–54 years old | Subjective social status (SSS) | Anterior cingulate cortex, amygdala and hippocampus | MRI: VBM—total brain volume and gray matter volumes in ROIs (SPM2 and Matlab) | Lower subjective social status was associated with reduced gray matter volume in the perigenual area of the anterior cingulate cortex, but not anterior cingulate cortex, hippocampus, or amygdala. No associations between brain structures and educational attainment, income, personal, or community SES measures. | |
M = 44.7 years | Education | |||||
N = 100 | Mode: College (47%) | |||||
Range = Less than HS to PhD | ||||||
Income | ||||||
Mode: $50–65k (25%) and greater than $80k (25%) | ||||||
Personal SES = composite of education and income | ||||||
Community SES = zip code | ||||||
Gianaros et al., 2012 | 30–50 years old | Educational attainment | Overall white matter microstructure | DTI: fractional anisotropy (FSL) | Individuals higher in education, earning higher incomes, and living in more advantaged communities demonstrated increases in white matter integrity and decreases in radial diffusivity. | |
M = 40.7 years | M = 17.17, SD = 3.2 | |||||
N = 155 | Range = 11–24 years | |||||
Income Community SES | ||||||
Krishnadas et al., 2013 | 35–64 years old | Neighborhood SES | Overall brain network structure and cortical thickness | MRI: cortical thickness (FreeSurfer) | Controlling for age and alcohol use, compared to the least deprived (LD) group the most deprived (MD) had significant cortical thinning in bilateral perisylvian cortices. | |
M = 51 years | Scottish index of multiple deprivation (SIMD) | |||||
N = 42 | ||||||
Liu et al., 2012 | 67–79 years old | Education | Temporal pole, transverse temporal gyrus, and isthmus of cingulate cortex | MRI: volumes in 15 ROIs and cortical thickness in 33 ROIs (FreeSurfer) | Participants with higher levels of education had significantly larger temporal pole, transverse temporal gyrus, and isthmus of cingulate cortex. | |
M = 73 years | M = 11 years, SD = 2.5 | |||||
N = 113 | Range = 6–16 years | |||||
Noble et al., 2012b | 17–87 years old | Educational attainment | Amygdala and hippocampus | MRI: amygdala and hippocampal volumes (FreeSurfer) | Education by age interaction found in the hippocampus, such that the volumetric reduction seen at older ages was more pronounced among less educated individuals, and was buffered among more highly educated individuals. No main effects of education or age by education interactions found for amygdala volumes. | |
M = 39.7 years | High school or less (32%) | |||||
N = 275 | Some college (30%) | |||||
College and graduate degree (38%) | ||||||
Noble et al., 2013 | 17–23 years old | Educational attainment | White matter microstructure (ROIs: superior longitudinal fasciculus, cingulum bundle, anterior coronal radiata) | DTI: fractional anisotropy (fMRIB Diffusion Toolbox and FNIRT) | Educational attainment significantly correlated with white matter microstructure in the superior longitudinal fasciculus and cingulum bundle (controlling for age). | |
M = 20.1 years | Mean = 14.1, SD = 1.8 | |||||
N = 47 | Range = 11–18 years | |||||
Piras et al., 2011 | 18–65 years old | Educational attainment | Thalamus, caudate nucleus, putamen, globus palidus, hippocampus, and amygdala | MRI: Gray and white matter volumes in ROIs DTI: fractional anisotropy and mean diffusivity (FSL) | Educational attainment negatively correlated with microstructural changes in both left and right hippocampi (controlling for age). | |
M = 40.35 years | M = 14.5, SD = 3.3 | |||||
N = 150 | Range = 5–21 years | |||||
Staff et al., 2012 | Older adults | Educational attainment | Hippocampus | MRI: hippocampal volume (FreeSurfer) | Childhood SES (latent factor including paternal occupation and childhood home environment) positively correlated with hippocampal volume after adjusting for mental ability (at age 11), adult SES (self-occupation and current neighborhood environment) and educational attainment. | |
M = 68.7 years | Paternal occupation | |||||
N = 235 | Retrospective at age 11 | |||||
Self-occupation | ||||||
Range = 1–9 | ||||||
Current neighborhood environment | ||||||
Zip code | ||||||
Childhood home environment | ||||||
Number of public rooms in home and number of people expected to share sanitation facility |
ROI, region of interest.
VBM, voxel-based morphometry.
SBM, surface-based morphometry.
DTI: diffusion tensor imaging.
Income to Needs (ITN), total family income divided by the federal poverty level for a family of that size, in the year data was collected.